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Solutions Manual for Introduction to Business Analytics, 1st Edition by Vernon Richardson.pdf

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Solutions Manual for Introduction to Business Analytics, 1st Edition by Vernon R

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Chapter m01 m –
m Specifym the m Question: m Usingm BusinessmAnalyticsm tom AddressmBusinessm Questions




Chapter 1 End-of-Chapter Assignment Solutions
m m m m




Multiple mChoice mQuestions
1. (LOm1.1)mAmcoordinated,mstandardizedmsetmofmactivitiesmconductedmbymbothmpeople mandmequipmentmtomaccompl
ishmamspecificmbusinessmtaskmismcalledm .
a. businessmprocesses
b. businessmanalysis
c. businessmprocedure
d. businessmvalue

2. (LOm1.2) mAccordingmtomthe minformationmvalue mchain,mdatamcombinedmwithmcontextmis
a. Information.
b. Knowledge.
c. Insight.
d. Value.

3. (LOm 1.5) mWhichmphasemofmthemSOARmanalyticsmmodelmaddressesmthe mpropermwaymtomcommunicate mresultsmt
omthe mdecisionmmaker?
a. Specifymthe mquestion
b. Obtainmthe mdata
c. Analyze mthe mdata
d. Reportmthe mresults

4. (LOm1.5)mWhichmphasemofmthemSOARmanalyticsmmodelminvolvesmfindingmthe mmostmappropriate mdatamneededmtomad
dressmthe mbusinessmquestion?
a. Specifymthe mquestion
b. Obtainmthe mdata
c. Analyze mthe mdata
d. Reportmthe mresults

5. (LOm1.5)mWhichmquestionsmseekminformationmaboutmTesla’smsalesminmthe mnextmquarter?
a. Whatmhappened?mWhatmismhappening?
b. Whymdidmitmhappen?mWhatmare mthe mcausesmof mpastmresults?
c. Willmitmhappenminmthe mfuture?mWhatmismthemprobabilitymsomethingmwillmhappen?mCanmwemforecastm
whatmwillmhappen?
d. Whatmshouldmwe mdo,mbasedmonmwhatmwemexpectmwillmhappen?mHowmdomwemoptimizemourmperformance m
basedmonmpotentialmconstraints?


6. (LOm1.5)mWhichmquestionsmseekminformationmonmthemroutingmofmproductsmfrommQueretaro,mMexicomtomChi
cago,mUnitedmStatesminmthe mlastmquarter?
a. Whatmhappened?mWhatmismhappening?
b. Whymdidmitmhappen?mWhatmare mthe mcausesmof mpastmresults?
c. Willmitmhappenminmthemfuture?mWhatmismthe mprobabilitymsomethingmwillmhappen?mCanmwemforecastmwha
tmwillmhappen?
d. Whatmshouldmwe mdo,mbasedmonmwhatmwemexpectmwillmhappen?mHowmdomwemoptimizemourmperformance m
basedmonmpotentialmconstraints?


©mMcGrawmHillmLLC.mAllmrights mreserved. mNo mreproduction mor mdistribution mwithoutmthemprior mwritten mconsentmof mMcGrawmHillmLLC.

1

, Chapter m01 m –
m Specifym the m Question: m Usingm BusinessmAnalyticsm tom AddressmBusinessm Questions
7. (LOm1.5)mWhichmquestionsmaskmwhymnetmincomemismincreasingmwhenmrevenuesmaremdecreasing,mcount
ermtomexpectations?
a. Whatmhappened?mWhatmismhappening?
b. Whymdidmitmhappen?mWhatmare mthe mcausesmofmpastmresults?
c. Willmitmhappenminmthemfuture?mWhatmismthemprobabilitymsomethingmwillmhappen?mCanmwe mforecastmwh
atmwillmhappen?
d. Whatmshouldmwe mdo,mbasedmonmwhatmwemexpectmwillmhappen?mHowmdomwemoptimizemourmperformance m
basedmonmpotentialmconstraints?

8. (LOm1.5)mWhichmquestionsmhelpmmanagersmunderstandmhowmtomorganize mfuturemshipmentsmbasedmonmexpe
ctedmdemand?
a. Whatmhappened?mWhatmismhappening?
b. Whymdidmitmhappen?mWhatmare mthe mcausesmof mpastmresults?
c. Willmitmhappenminmthemfuture?mWhatmismthe mprobabilitymsomethingmwillmhappen?mCanmwemforecastmwha
tmwillmhappen?
d. Whatmshouldmwemdo,mbasedmonmwhatmwemexpectmwillmhappen?mHowmdomwe moptimize mourmperfor
mance mbasedmonmpotential mconstraints?
9. (LOm 1.5) mWhichmtermmrefersmtomthemcombinedmaccuracy,mvalidity,mandmconsistencymofmdatamstoredmandmused
m overm time?

a. Datamintegrity
b. Datamoverload
c. Datamvalue
d. Informationmvalue

10. (LOm1.3) mAmspecialistmwhomknowsmhowmtomworkmwith,mmanipulate,mandmstatisticallymtestmdatamisma
a. decisionmmaker.
b. datamscientist.
c. datamanalyst.
d. decisionmscientist.

11. (LOm 1.4) mWhichmtypemofmanalystsmpredictsmthe mamountmofmmoneymthatmamcompanymwillmreceivemfrommitsmcustom
ersmtomhelpmmanagementmevaluate mfutureminvestmentsmbasedmonmexpectedminvestmentmperformance,msuchmasmi
nvestmentsminmequipmentmormemployee mtraining?
a. Marketingmanalyst
b. Operationsmanalyst
c. Financialmanalyst
d. Accountingmanalyst

12. (LOm1.4)mWhichmtype mofmanalystmaddressesmquestionsmregardingmtax mandmauditing?
a. Marketingmanalyst
b. Operationsmanalyst
c. Financialmanalyst
d. Accountingmanalyst

13. (LOm 1.5) mSupposemamcompanymhasmtimelymproductmreviewsmthatmare mavailable mwhenmneeded,mbutmthe mrevie
wsmare mbiased.mThese mproductmreviewsmare mwhichmtype mof mdata?
a. Reliable
b. Relevant
c. Curated
d. Consistent
©mMcGrawmHillmLLC.mAllmrights mreserved. mNo mreproduction mor mdistribution mwithoutmthemprior mwritten mconsentmof mMcGrawmHillmLLC.



2

, Chapter m01 m –
m Specifym the m Question: m Usingm BusinessmAnalyticsm tom AddressmBusinessm Questions
14. (LOm1.6)mWhichmcommonmvisualizationmtype mshowsmtrendsminmvaluesmovermtime?
a. Line mgraph
b. Scatterplot
c. Pie mchart
d. Barmchart

15. (LOm1.6)mWhichmcommonmvisualizationmtype mshowsmthe mcompositionmof mvaluesmovermtime?
a. Line mgraph
b. Scatterplot
c. Pie mchart
d. Barmchart


DiscussionmQuestions
1. (LOm 1.1) mGivemfivemexamplesmofmbusinessmprocessesmatmTesla.m Howmdomtheymcreate mbusinessmvaluemformTeslama
ndmitsmshareholders?

SuggestedmSolution:
Answersmwillmvary,
1. Teslamprocuresmautomobile mpartsmfrommautomsuppliersm–
Because mofmTesla’smuniquemstyling,mgettingmquali
tympartsmfrommitsmsuppliersmonmamtimelymbasismwillmsupportmitsmmanufacturingmbusiness.
2. Teslammanufacturesmbatteriesmformitsmelectricmvehicle matmitsmdesiredmspecificationsm–
m The m quantity m andm quality m of m itsm batteries m are m of m criticalm importance m tom Tesla.


3. Acceptingmandmprocessingmpreordersmfrommitsmcustomersm–
m Teslam receives m some m indication m of m the m demand m form eachm of m itsm products, m thatm helps m withm planning.

4. Teslammarketsmitsmproductsm– mTeslamworksmtomgetmTeslamproductsminmthe mfrontmof mmindmformitsmcustomers.
5. Teslamcarmandmtruckmdesignm–
m Teslam designs mitsmautomobilesm inmamwaymthatmwillm appealm tomitsmcustomers m(formexample, mCybertruck).




2. (LOm 1.2) mExplainmthe minformationmvaluemchainmbymsummarizingmhowmdatamare mtransformedmintomknowledgeminsi
ghtsmformdecision-
making.mUse mthemexample mofmambookmreviewmonmAmazonmandmhowmitmmightmleadmAmazonmtomdecidemhowmmany
m of m those m books m tom stock m atm itsm warehouses.




SuggestedmSolution:
Amazonmallowsmthosemwhompurchasembooksmandmothermproductsmatmitsmwebsitemtomgive mproductmreviewsmandmas
signmproductmratings.m Themproductmreviewsmmaymprovidemtextmwhichmtextualmanalyticsmcouldmusemtomunderstand
m the m generalm sentimentm aboutmthemspecificm book. m The mproductm ratingmcouldmalsombemusedmtomunderstand mhowm

wellmthe mbookmismlikedmbymverifiedmbuyers.m Statisticalmcorrelationsmcouldmbemrunmamongmproductmreviewmsentim
ent,mproductmratingsmandmproductmsalesmtomhelpmforecastmdemandmformthemproduct.m ThismwillmhelpmAmazonmdete
rmine mhowmmanymbooksmtomkeepminmitsmwarehouse mreadymformdelivery.
Thismismanmexample mofmhowmdatamturnsmintominformation, mknowledge mandmultimatelymhelpsmwithmdecisionmmaking.

3. (LOm 1.3) mExplainmtheminformationmvaluemchainmbymsummarizingmhowmdatamare mtransformedmintomknowledge mins
ightsmformdecision-
making.mUse mthemexamplemofmambookmreviewmofmthismbookmonmAmazonmandmhowmitmmightmhelpmthe mpublisher,m
McGrawmHill,mdetermine mwhethermtomrevisemthismbookmformamnew,mupdatedmeditionmasmthemdiscipline mofmdatama
nalyticsmevolves.
3

, Chapter m01 m –
m Specifym the m Question: m Usingm BusinessmAnalyticsm tom AddressmBusinessm Questions



©mMcGrawmHillmLLC.mAllmrights mreserved. mNo mreproduction mor mdistribution mwithoutmthemprior mwritten mconsentmof mMcGrawmHillmLLC.




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